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1.4. Reflection Checkpoint: Core Data Concepts Mastery

You have now explored the foundational concepts of data representation, workload types, and professional roles. These concepts underpin every Azure service decision.

Scenario Synthesis: An e-commerce company collects product images (unstructured), customer reviews as JSON (semi-structured), and order transactions (structured). Orders must be processed in real-time with ACID compliance, while weekly sales reports require aggregating millions of rows.

Reflection Question: How would you classify each data type, and which workload pattern (OLTP vs. OLAP, Batch vs. Stream) applies to the order processing versus the weekly reporting?

Self-Assessment Prompts:
  • Can you immediately classify any data example as structured, semi-structured, or unstructured?
  • Do you understand why Parquet is preferred over JSON for analytics workloads?
  • Can you explain ACID properties without looking at notes?
  • Do you know which role builds pipelines versus which role builds dashboards?
  • Can you distinguish when to use batch processing versus stream processing?

Take a moment to reaffirm your understanding. The groundwork you lay here will shape your success in the modules to come.